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Nicol N. Schraudolph
- > Home > Persons > Nicol N. Schraudolph
Publications
- 2010
- [j12]Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph:
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning. J. Mach. Learn. Res. 11: 1145-1200 (2010) - [j11]S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt:
Graph Kernels. J. Mach. Learn. Res. 11: 1201-1242 (2010) - 2009
- [c28]Peter Sunehag, Jochen Trumpf, S. V. N. Vishwanathan, Nicol N. Schraudolph:
Variable Metric Stochastic Approximation Theory. AISTATS 2009: 560-566 - 2008
- [c27]Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph:
Using an adaptive VAR Model for motion prediction in 3D hand tracking. FG 2008: 1-8 - [c26]Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph:
A quasi-Newton approach to non-smooth convex optimization. ICML 2008: 1216-1223 - [c25]Zhidong Li, Jing Chen, Nicol N. Schraudolph:
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking. ICPR 2008: 1-4 - [c24]Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, Nicol N. Schraudolph:
Using stochastic gradient-descent scheme in appearance model based face tracking. MMSP 2008: 640-645 - [i2]S. V. N. Vishwanathan, Karsten M. Borgwardt, Imre Risi Kondor, Nicol N. Schraudolph:
Graph Kernels. CoRR abs/0807.0093 (2008) - 2007
- [j10]Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool:
Fast stochastic optimization for articulated structure tracking. Image Vis. Comput. 25(3): 352-364 (2007) - [j9]Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan:
Fast Iterative Kernel Principal Component Analysis. J. Mach. Learn. Res. 8: 1893-1918 (2007) - [c22]Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph:
3D Hand Tracking in a Stochastic Approximation Setting. Workshop on Human Motion 2007: 136-151 - [c21]Nicol N. Schraudolph, Jin Yu, Simon Günter:
A Stochastic Quasi-Newton Method for Online Convex Optimization. AISTATS 2007: 436-443 - 2006
- [j7]S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola:
Step Size Adaptation in Reproducing Kernel Hilbert Space. J. Mach. Learn. Res. 7: 1107-1133 (2006) - [c20]S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy:
Accelerated training of conditional random fields with stochastic gradient methods. ICML 2006: 969-976 - [c19]Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan:
Fast Iterative Kernel PCA. NIPS 2006: 1225-1232 - [c18]S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph:
Fast Computation of Graph Kernels. NIPS 2006: 1449-1456 - 2005
- [c16]Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola:
Step size-adapted online support vector learning. ISSPA 2005: 823-826 - [c15]Nicol N. Schraudolph, Douglas Aberdeen, Jin Yu:
Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. NIPS 2005: 1185-1192 - 2004
- [c14]Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool:
Stochastic Meta-Descent for Tracking Articulated Structures. CVPR Workshops 2004: 7 - 2003
- [c13]Nicol N. Schraudolph, Thore Graepel:
Combining Conjugate Direction Methods with Stochastic Approximation of Gradients. AISTATS 2003 - 2002
- [c11]Thore Graepel, Nicol N. Schraudolph:
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. ICANN 2002: 450-455 - [c10]Nicol N. Schraudolph, Thore Graepel:
Conjugate Directions for Stochastic Gradient Descent. ICANN 2002: 1351-1358
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